Read more


6Months/60 Hours                                                                 Price:60,000

                                                                                      55,000

 Python 50 Projects Training 

This Python Course with 50 Projects – From Zero to Expert is a complete, hands-on journey designed to take you from absolute beginner to confident Python developer. The outline is structured into 15+ modules covering core programming concepts, data types, conditionals, loops, functions, OOP, and error handling, all reinforced with real-world projects. You’ll practice Python by building calculators, games, automation tools, data science mini-projects, and even a Flask web application with database integration. With a strong mix of theory and 50 practical projects, this course ensures you gain not only coding knowledge but also the portfolio-ready skills employers look for.


What You’ll Learn

  • Write clean and efficient Python code from beginner to advanced level.
  • Understand data types, conditionals, loops, functions, OOP, and error handling with ease.
  • Build 50 hands-on projects ranging from calculators and games to automation and web apps.
  • Apply Python to real-world scenarios like data analysis, web scraping, file handling, and APIs.
  • Master comprehensions, generators, decorators, and modules to optimize your code.
  • Work on beginner, intermediate, and final projects to reinforce practical knowledge.
  • Explore data science basics with NumPy, Pandas, and machine learning foundations.
  • Create a Flask web project with database integration and dynamic routes.
  • Develop the confidence to tackle coding interviews and build portfolio-ready projects.
  • Become a job-ready Python developer with project-based learning.

Module 1 – Introduction & Basics

  • Course Introduction
  • Writing Your First Program in Python
  • Exploring Real-World Examples of Python Code
  • Why Python is a Preferred Language
  • Core Concepts of Python and Programming

Module 2 – Data Types

  • Understanding Mutable vs Immutable Objects
  • In-Depth Look at Numbers, Booleans, and Operators
  • Project – 1: Playing with Numbers
  • Working with Strings: Indexing, Slicing, Encoding
  • Project – 2: Swapping Temperature
  • Basics of Lists in Python
  • Operator Overloading and Bytearrays
  • Project – 3: Shopping List
  • Sets and Frozensets
  • Project – 4: Managing Store Inventory
  • Dictionaries in Action
  • Project – 5: Customer Profile Management

Module 3 – Conditionals

  • Project – 6: Customer Discount Eligibility
  • Project – 7: Restaurant Billing System
  • Project – 8: Coffee Price Calculator
  • Project – 9: Loan Eligibility Checker
  • Project – 10: Age Verification System
  • Applying Conditional Statements in Python

Module 4 – Loops

  • Introduction to Iterations in Python
  • Project – 11: Token Dispenser Machine
  • Project – 12: Generate Multiplication Table
  • Project – 13: Task Completion Tracker
  • Project – 14: Student Scores Report
  • Project – 15: ATM Withdrawal Simulator
  • Break, Continue, and Loop Control Statements
  • Project – 16: Parcel Scanning System
  • Mastering Loops in Python

Module 5 – Functions

  • Functions for Code Reuse and Simplification
  • Exploring Advanced Features of Functions
  • Project – 17: Student Grading System
  • Scope and Namespace in Functions
  • Project – 18: Loyalty Points Tracker
  • Handling Arguments in Functions
  • Project – 19: Order Invoice Generator
  • Lambdas, Pure vs Impure Functions
  • Project – 20: Function Types
  • Documenting and Using Built-in Functions
  • Python Imports, Modules, and the Init File

Module 6 – Comprehensions

  • List, Set, and Dictionary Comprehensions
  • Generator Comprehensions for Memory Efficiency
  • Project – 21: Smart Inventory Filter
  • Applying Comprehensions in Python

Module 7 – Generators & Decorators

  • Creating Generators with Yield
  • Sending Values to Generators
  • Project – 22: Smart Token Dispenser
  • Understanding Decorators
  • Project – 23: Build a Logger with Decorator
  • Project – 24: Build an Authorization Decorator
  • Project – 25: Caching Expensive Calculations

Module 8 – Object Oriented Programming

  • Creating Classes and Objects
  • Understanding Namespaces and Attributes
  • Constructors and Init Method
  • Project – 26: Smart Home Device Tracker
  • Inheritance vs Composition
  • Project – 27: Vehicle Rental System
  • Static and Class Methods
  • Property Decorators (Getter & Setter)
  • Understanding OOP Concepts in Python

Module 9 – Exception Handling

  • Introduction to Error and Exception Handling
  • Try, Except, Else, Finally Blocks
  • Raising and Creating Custom Errors
  • Project – 28: Mini Project with Exception Handling
  • File Handling with Exceptions

Module 10 – Beginner Projects

  • Project – 29: Self-Intro Script Generator
  • Project – 30: Simple Bill Splitter
  • Project – 31: Daily Learning Journal Logger
  • Project – 32: Password Strength Checker
  • Project – 33: Friendship Calculator

Module 11 – Intermediate Projects

  • Project – 34: CSV Powered Contact Book
  • Project – 35: Student Marks Analyzer
  • Project – 36: Personal Movie Tracker with JSON
  • Project – 37: Graph with Matplotlib
  • Project – 38: Secure Offline Password Vault

Module 12 – Web Scraping & Automation

  • Project – 39: Scraping Wiki Headings
  • Project – 40: Save Hacker News in CSV
  • Project – 41: Multi-page Data Scraping
  • Project – 42: Crypto Price Tracker with Graphs
  • Project – 43: Store and Search in SQLite DB

Module 13 – File & System Utilities

  • Project – 44: File Organiser
  • Project – 45: Trip Photos Organizer
  • Project – 46: Watchdog for Monitoring Events
  • Project – 47: System Monitoring Software

Module 14 – Data Science & ML Basics

  • Introduction to Anaconda and Jupyter Notebooks
  • Working with NumPy and Pandas
  • Project – 48: Linear Regression Project
  • Project – 49: Salary Prediction Project with Streamlit

Module 15 – Flask Project

  • Introduction to Flask & App Structure (app.py, virtual env, run/debug)
  • Routing Basics (@app.route, URL params, methods: GET/POST)
  • Templates & Jinja2 (blocks, inheritance, filters)
  • Static Files (CSS/JS/images) and template organization
  • Forms Handling (request.form), validation intro (WTForms optional)
  • Working with a Database (SQLite/SQLAlchemy setup & CRUD patterns)
  • Blueprints & Modular App Structure
  • Configuration & Environment Variables (.env, config classes)
  • Error Handling & Custom Error Pages (404/500)
  • Flash Messages & Sessions
  • Logging & Basic Security Considerations
  • Deployment Basics (gunicorn/uwsgi, Nginx, Render/Railway/Heroku-style)
  • Project – 50: URL Shortener Web App (with Flask, DB & Templates)

Who this course is for:

·        Beginners who want to learn Python from scratch

·        Students transitioning from other languages to Python

·        Professionals looking to strengthen their Python fundamentals

·        Anyone interested in building real-world Python projects and learning by doing

·        Learners preparing for technical interviews or Python-based roles


International Student Fees: USD400$


Job Interview Preparation  (Soft Skills Questions & Answers)

Tough Open-Ended Job Interview Questions
What to Wear for Best Job Interview Attire
Job Interview Question- What are You Passionate About?
How to Prepare for a Job Promotion Interview


Stay connected even when you’re apart

Join our WhatsApp Channel – Get discount offers

 500+ Free Certification Exam Practice Question and Answers

 Your FREE eLEARNING Courses (Click Here)


Internships, Freelance and Full-Time Work opportunities

 Join Internships and Referral Program (click for details)

Work as Freelancer or Full-Time Employee (click for details)

Hire an Intern


Flexible Class Options

Weekend Classes For Professionals  SAT | SUN
Corporate Group Training Available
Online Classes – Live Virtual Class (L.V.C), Online Training



Realted Courses

 Diploma in Python -Big Data, Data Science, SQL and Data Engineering

Python for Data Science and Machine Learning Course with Projects

Mastering Python With OpenAI APIs and GPT-4

Python Programming for Beginners 

0 Reviews

Contact form

Name

Email *

Message *